Are you thinking all previous posts disappear unless you agree with them? Here is the data again from University of Notre Dame website. With the link.
I schooled you before on statistical analysis, the importance of having a meaningful amount of sample data, and how to treat outlying data. Believe me, I have a great example of additional statistical analysis with a great example. You don't want to make me lay it out for you.
You'll be seriously owned again.
http://www.und.com/sports/m-footbl/stats/2014-2015/teamcume.html
ALL PURPOSE GP Rush Rcv PR KR IR Total Avg/G
Carlisle, Amir 12 46 309 0 761 0 1116 93.0
FULLER, Will 13 0 1094 0 0 0 1094 84.2
Folston, Tarean 13 889 190 0 0 0 1079 83.0
PROSISE, CJ 13 126 516 0 0 0 642 49.4
Brown, Chris 13 5 548 0 0 0 553 42.5
Robinson, Corey 13 0 539 0 0 0 539 41.5
Bryant, Greg 12 289 50 94 85 0 518 43.2
McDaniel, Cam 13 278 76 0 49 0 403 31.0
Koyack, Ben 13 0 317 0 0 0 317 24.4
Golson, Everett 13 283 0 0 0 0 283 21.8
Zaire, Malik 7 187 0 0 0 0 187 26.7
Riggs, Cody 11 0 0 95 0 0 95 8.6
Farley, Matthias 13 0 0 0 0 87 87 6.7
Hunter Jr., Torii 10 13 65 0 0 0 78 7.8
Utupo, Justin 13 0 0 0 11 7 18 1.4
Redfield, Max 13 0 0 0 0 17 17 1.3
Shumate, Elijah 13 0 0 0 0 16 16 1.2
Luke, Cole 13 0 0 0 0 13 13 1.0
Councell, Ben 12 0 0 0 9 0 9 0.
No means No, Nooooo ooooooo